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Application of 3D Reservoir Geological Model on Es1 Formation, Block Nv32, Shenvsi Oilfield, China

DOI: 10.4236/ojogas.2020.52006, PP. 54-72

Keywords: 3D Reservoir Geological Model, Es1 Formation, Block Nv32, Structural Model, Petrophysical Model

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Abstract:

Three-dimensional geological modeling of reservoirs is an essential tool to predict reservoir performance and improve the understanding of reservoir uniqueness in Es1 formation. The paper focuses on the use of petrel software to build three-dimensional reservoir geological model which characterizes and assesses block Nv32 that located in the west of the Shenvsi oilfield in the south of Cangzhou city, Hebei province of China, and has an oil-bearing area of 1.4 km2. This study is depending on integration data from well logs of 22 wells which provided from geology, geophysics, and petrophysics to identify and provide precise depict of the subsurface internal structure and the reservoir heterogeneity. Input data was used to build the structural model, sedimentary facies model, petrophysical properties (porosity, permeability, saturation, and N/G model, and finally to determine the reservoir volume. The lithological facies were simulated using the assigned value method. Moreover, Petrophysical properties (Porosity, permeability, oil saturation and net to gross) were constructed for each zone using the Sequential Gaussian Simulation method to guide the distribution of petrophysical properties of Es1 formation, block Nv32. Statistical analysis of the porosity, permeability, oil saturation and N/G model present that the porosity occurrence distribution is mainly concern between 0.2% - 36.39% of block Nv32 with an average porosity value of 17.5%, permeability between 0.017 mD to 974.8 mD, having an average permeability of 59.44 mD, oil saturation between 0.00 to 0.95 having an average value of 0.22, and N/G is mainly concentrated between 0.01 to 1.00 within an average value of 0.61. This research has indicated the reliability of the three-dimensional model technique as a suitable tool to provide a sufficient understanding of petrophysical distribution. The south-western and north-western indicate that oilfield is very promising an exploratory well should be drilled to find out the thickness and size of the reservoir.

References

[1]  Jia, A., He, D. and Ji, C. (2012) Advances and Challenges of Reservoir Characterization: A Review of the Current State-of-the-Art. In: Earth Science, IntechOpen, London, 205-224.
https://doi.org/10.5772/26404
[2]  Field, A., Toba, A. and Ideozu, R.U. (2017) Reservoir Characterization and Prediction of Reservoir Performance Using 3-D D Static Modelling: Awe Field, Niger Delta, Nigeria. International Basic and Applied Research Journal, 3, 1-17.
[3]  Yu, J.T., Xie, J., Meng, N.N. and Lin, P. (2011) 3D Geological Modeling in Chang 109 Block of Changchunling Oilfield. Advanced Materials Research, 204-210, 1891-1894.
https://doi.org/10.4028/www.scientific.net/AMR.204-210.1891
[4]  Al-Baldawi, B.A. (2015) Building A 3D Geological Model Using Petrel Software for Asmari Reservoir, South Eastern Iraq. Iraqi Journal of Science, 56, 1750-1762.
[5]  Altameemi, A.M.H. and Alzaidy, A. (2018) Geological Modeling Using Petrel Software for Mishrif Formation in Noor Oil Field, Southeastern Iraq. Iraqi Journal of Science, 59, 1600-1613.
https://doi.org/10.24996/ijs.2018.59.3C.7
[6]  Bjorlykke, K. and Knut, B. (2015) Petroleum Geoscience from Sedimentary Environment to Rock Physics Second Edition. Springer-Verlag, Berlin, Heidelberg.
[7]  Adeoti, L., Onyekachi, N., Olatinsu, O., Fatoba, J. and Bello, M. (2014) Static Reservoir Modeling Using Well Log and 3-D Seismic Data in a KN Field, Offshore Niger Delta, Nigeria. International Journal of Geosciences, 5, 93-106.
https://doi.org/10.4236/ijg.2014.51011
[8]  Agyare Godwill, P. and Waburoko, J. (2016) Application of 3D Reservoir Modeling on Zao 21 Oil Block of Zilaitun Oil Field. Journal of Petroleum & Environmental Biotechnology, 7, 1-8.
https://doi.org/10.4172/2157-7463.1000262
[9]  Satter, A. and Iqbal, G.M. (2016) Determination of Oil and Gas in Place: Conventional and Unconventional Reservoirs.
https://doi.org/10.1016/B978-0-12-800219-3.00012-7
[10]  Ahmed, T. (2010) Reservoir Engineering. Gulf Professional Publishing, Oxford.
[11]  Zafar, A. and Fan, H.J. (2017) Combination of Geological, Geophysical and Reservoir Engineering Analyses in Field Development: A Case Study. International Journal of Environmental, Chemical, Ecological, Geological and Geophysical Engineering, 11, 36-43.
[12]  Zafar, A., et al. (2019) The Numerical Simulation and Wellbore Modeling of Steam Injection and Stored Heat Recovery from Light Oil Reservoir. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects.
https://doi.org/10.1080/15567036.2019.1676331
[13]  Zafar, A., et al. (2019) The Numerical Simulation of Effects of Porosity, Permeability and Fluid Saturation on Heat Dissipation in an Oil Reservoir. 2nd International Conference of Arabian Journal of Geosciences, Tunisia, 25-28 November 2019.
[14]  Zafar, A., et al. (2020) Tight Gas Production Model Considering TPG as a Function of Pore Pressure, Permeability and Water Saturation. Petroleum Science.
https://doi.org/10.1007/s12182-020-00430-4
[15]  Kashif, M., Cao, Y., Yuan, G., et al. (2019) Sedimentological Impact on Reservoir Quality of Es1 Sandstone of Shahejie Formation, Nanpu Sag, East China. Arabian Journal of Geosciences, 12, 545.
https://doi.org/10.1007/s12517-019-4671-y
[16]  Fan, H.J., Zafar, A., et al. (2017) Analyses of Nature of Fault through Production Data. Open Journal of Yangtze Gas and Oil, 2, 176-190.
https://doi.org/10.4236/ojogas.2017.23014
[17]  Zafar, A., et al. (2020) Heat Dissipation Modeling of In-Situ Conversion of Oil Shale. Open Journal of Yangtze Gas and Oil, 5, 46-53.
https://doi.org/10.4236/ojogas.2020.52005

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